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Entry Level Ai Tester Jobs (NOW HIRING)

... testing the latest models, building agents for fun, and explaining to friends why this moment ... entry-level professionals won't reach for years. You'll be the person who makes that happen. What ...

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Entry Level Ai Tester information

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$10

$38

$62

How much do entry level ai tester jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for entry level ai tester in the United States is $38.36, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $50.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level AI Tester, and why are they important?

To thrive as an Entry Level AI Tester, you typically need a basic understanding of software testing principles, familiarity with AI concepts, and a degree in computer science or a related field. Experience with testing tools like Selenium, JIRA, or test automation frameworks, as well as knowledge of scripting languages such as Python, is often required. Attention to detail, analytical thinking, and effective communication are essential soft skills for identifying issues and collaborating with development teams. These skills and qualifications ensure accurate testing, effective bug reporting, and the reliable performance of AI systems.

What does an Entry Level AI Tester do?

An Entry Level AI Tester is responsible for evaluating and testing artificial intelligence systems to ensure they function as intended. This typically involves creating test cases, running software through various scenarios, identifying bugs or inconsistencies, and reporting findings to developers. The role may also include documenting test results and helping improve the performance and accuracy of AI models. Entry-level testers work closely with software engineers and data scientists to ensure quality and reliability. No advanced experience is typically required, making it a good starting point for those interested in AI and software testing.

What is the difference between Entry Level Ai Tester vs Data Analyst?

AspectEntry Level Ai TesterData Analyst
Required SkillsBasic understanding of AI, testing tools, programming (Python, SQL)Data analysis, statistical skills, data visualization
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
CertificationsEntry-level AI or testing certificationsData analysis certifications (e.g., Microsoft, Google)

Entry Level Ai Testers focus on testing AI models for accuracy and performance, while Data Analysts interpret data to inform business decisions. Both roles require analytical skills but differ in tools and industry focus. Entry Level Ai Testers are more involved in AI-specific testing processes, whereas Data Analysts work across various data sets to generate insights.

What does a typical day look like for an Entry Level AI Tester, and how do they interact with other teams?

As an Entry Level AI Tester, your daily tasks often involve running test cases, documenting results, and reporting bugs related to AI models or features. You'll collaborate closely with developers to clarify issues and ensure accurate fixes, while also working with product managers to understand user requirements. Regular team meetings and cross-functional communication are common, as feedback loops are essential in AI development. This role offers a supportive environment for learning, with mentorship from senior testers and exposure to cutting-edge AI technologies.
More about Entry Level Ai Tester jobs
What cities are hiring for Entry Level Ai Tester jobs? Cities with the most Entry Level Ai Tester job openings:
What are the most commonly searched types of Ai Tester jobs? The most popular types of Ai Tester jobs are:
What states have the most Entry Level Ai Tester jobs? States with the most job openings for Entry Level Ai Tester jobs include:
Infographic showing various Entry Level Ai Tester job openings in the United States as of July 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $79,791 per year, or $38.4 per hour.
AI Engineer / Data Scientist, AI Experienced Associate

AI Engineer / Data Scientist, AI Experienced Associate

Pwc

Detroit, MI • On-site

$63K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

18th of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Associate

Job Description & Summary

The Opportunity
As part of the AI Engineering team within the Digital Assurance & Technology team, we're seeking an innovative and versatile AI professional with AI and ML development and/or testing expertise. In this role, you'll work with teams that are building and deploying scalable AI-powered solutions within real-world applications. You'll work cross-functionally with data scientists, ML engineers, backend/frontend developers, and product teams to help test and deliver impactful AI products.
In this role, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. You will be expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. Embrace the opportunity to grow in a fast-paced environment, adapting to diverse challenges and contributing to innovative solutions.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing scalable machine learning models to support client decision-making processes
- Collaborating with cross-functional teams to integrate AI solutions into existing platforms
- Conducting data wrangling and preprocessing to prepare datasets for analysis
- Applying advanced algorithms to enhance the performance of AI models
- Building and deploying software systems that leverage AI and machine learning technologies
- Analyzing complex data sets to identify patterns and trends that inform business strategies
- Supporting client engagements by delivering quality work and adapting to diverse project requirements
- Engaging in continuous learning to deepen technical skills and knowledge in AI engineering
- Upholding professional and technical standards while contributing to team success
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning techniques
- Excelling in client support within fast-paced environments
- Adapting quickly to diverse client needs and project scopes
- Building a personal brand through consistent quality work
- Utilizing analytical skills to discern patterns and insights

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $63,000 - $141,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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